Production Engineering and Management under Fuzziness

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Kahraman, Cengiz (Επιμελητής έκδοσης), Yavuz, Mesut (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
• Σειρά: Studies in Fuzziness and Soft Computing, 252
• Θέματα: Business.; Production management.; Artificial intelligence.; Applied mathematics.; Engineering mathematics.; Control engineering.; Robotics.; Mechatronics.; Industrial engineering.; Production engineering.; Business and Management.; Operations Management.; Control, Robotics, Mechatronics.; Artificial Intelligence (incl. Robotics).; Appl.Mathematics/Computational Methods of Engineering.; Industrial and Production Engineering.

Production engineering and management involve a series of planning and control activities in a production system. A production system can be as small as a shop with only one machine or as big as a global operation including many manufacturing plants, distribution centers, and retail locations in mul...

Πίνακας περιεχομένων:

• Fuzzy and Grey Forecasting Techniques and Their Applications in Production Systems
• Fuzzy Inventory Management
• Fuzzy Material Requirement Planning
• Fuzziness in JIT and Lean Production Systems
• Fuzzy Lead Time Management
• Manufacturing System Modeling Using Petri Nets
• Fuzzy Technology in Advanced Manufacturing Systems: A Fuzzy-Neural Approach to Job Remaining Cycle Time Estimation
• Fuzzy Project Scheduling
• Interval PERT and Its Fuzzy Extension
• Fuzziness in Supply Chain Management
• Fuzzy Simulation and Optimization of Production and Logistic Systems
• Fuzzy Investment Planning and Analyses in Production Systems
• Fuzzy Production and Operations Budgeting and Control
• Fuzzy Location Selection Techniques
• Fuzziness in Materials Flow and Plant Layout
• Fuzzy Cognitive Maps for Human Reliability Analysis in Production Systems
• Fuzzy Productivity Measurement in Production Systems
• Fuzzy Statistical Process Control Techniques in Production Systems
• Fuzzy Acceptance Sampling Plans
• Fuzzy Process Capability Analysis and Applications
• Fuzzy Measurement in Quality Management Systems
• Fuzzy Real Options Models for Closing/Not Closing a Production Plant.